NDMD simulation: quantile regression plots

Exposure prevalence = 0.1 | Risk in unexposed = 0.01

True RR = 1

Se = 0.8 Se = 0.5

True RR = 1.5

Se = 0.8 Se = 0.5

True RR = 2

Se = 0.8 Se = 0.5

True RR = 5

Se = 0.8 Se = 0.5

Exposure prevalence = 0.1 | Risk in unexposed = 0.10

True RR = 1

Se = 0.8 (Sp = 0.996 and Sp = 0.998 models not estimable)

Se = 0.5

(Sp = 0.992 model not estimable)

(Sp = 0.996 model not estimable)

True RR = 1.5

Se = 0.8 Se = 0.5

True RR = 2

Se = 0.8

(Sp = 0.998 model not estimable)

Se = 0.5 (Sp = 0.996 and Sp = 0.998 models not estimable)

True RR = 5

Se = 0.8

Se = 0.5

(Sp = 0.990 model not estimable)

Exposure prevalence = 0.5 | Risk in unexposed = 0.01

True RR = 1

Se = 0.8 Se = 0.5

True RR = 1.5

Se = 0.8 Se = 0.5

True RR = 2

Se = 0.8 Se = 0.5

True RR = 5

Se = 0.8

(Sp = 0.990, Sp = 0.992 models not estimable) Se = 0.5

Exposure prevalence = 0.5 | Risk in unexposed = 0.10

True RR = 1

Se = 0.8 (Sp = 0.998 model not estimable)

Se = 0.5 (Sp = 0.998 model not estimable)

True RR = 1.5

Se = 0.8 Se = 0.5

True RR = 2

Se = 0.8 Se = 0.5

True RR = 5

Se = 0.8 Se = 0.5